id stringlengths 1 4 | question_id stringlengths 1 4 | question stringclasses 86
values | answer stringclasses 2
values | image_source stringclasses 500
values | image imagewidth (px) 333 640 | category stringclasses 3
values |
|---|---|---|---|---|---|---|
1400 | 1401 | Is there a person in the image? | yes | COCO_val2014_000000463522 | adversarial | |
1401 | 1402 | Is there a car in the image? | no | COCO_val2014_000000463522 | adversarial | |
1402 | 1403 | Is there a dog in the image? | yes | COCO_val2014_000000463522 | adversarial | |
1403 | 1404 | Is there a truck in the image? | no | COCO_val2014_000000463522 | adversarial | |
1404 | 1405 | Is there a backpack in the image? | yes | COCO_val2014_000000511341 | adversarial | |
1405 | 1406 | Is there a skis in the image? | no | COCO_val2014_000000511341 | adversarial | |
1406 | 1407 | Is there a person in the image? | yes | COCO_val2014_000000511341 | adversarial | |
1407 | 1408 | Is there a dining table in the image? | no | COCO_val2014_000000511341 | adversarial | |
1408 | 1409 | Is there a handbag in the image? | yes | COCO_val2014_000000511341 | adversarial | |
1409 | 1410 | Is there a chair in the image? | no | COCO_val2014_000000511341 | adversarial | |
1410 | 1411 | Is there a bottle in the image? | yes | COCO_val2014_000000200583 | adversarial | |
1411 | 1412 | Is there a person in the image? | no | COCO_val2014_000000200583 | adversarial | |
1412 | 1413 | Is there a boat in the image? | yes | COCO_val2014_000000200583 | adversarial | |
1413 | 1414 | Is there a car in the image? | no | COCO_val2014_000000200583 | adversarial | |
1414 | 1415 | Is there a bench in the image? | yes | COCO_val2014_000000200583 | adversarial | |
1415 | 1416 | Is there a backpack in the image? | no | COCO_val2014_000000200583 | adversarial | |
1416 | 1417 | Is there a truck in the image? | yes | COCO_val2014_000000424585 | adversarial | |
1417 | 1418 | Is there a traffic light in the image? | no | COCO_val2014_000000424585 | adversarial | |
1418 | 1419 | Is there a car in the image? | yes | COCO_val2014_000000424585 | adversarial | |
1419 | 1420 | Is there a bus in the image? | no | COCO_val2014_000000424585 | adversarial | |
1420 | 1421 | Is there a person in the image? | yes | COCO_val2014_000000424585 | adversarial | |
1421 | 1422 | Is there a dining table in the image? | no | COCO_val2014_000000424585 | adversarial | |
1422 | 1423 | Is there a clock in the image? | yes | COCO_val2014_000000100215 | adversarial | |
1423 | 1424 | Is there a person in the image? | no | COCO_val2014_000000100215 | adversarial | |
1424 | 1425 | Is there a bed in the image? | yes | COCO_val2014_000000100215 | adversarial | |
1425 | 1426 | Is there a book in the image? | no | COCO_val2014_000000100215 | adversarial | |
1426 | 1427 | Is there a bottle in the image? | yes | COCO_val2014_000000100215 | adversarial | |
1427 | 1428 | Is there a dining table in the image? | no | COCO_val2014_000000100215 | adversarial | |
1428 | 1429 | Is there a tv in the image? | yes | COCO_val2014_000000017379 | adversarial | |
1429 | 1430 | Is there a dining table in the image? | no | COCO_val2014_000000017379 | adversarial | |
1430 | 1431 | Is there a sink in the image? | yes | COCO_val2014_000000017379 | adversarial | |
1431 | 1432 | Is there a bottle in the image? | no | COCO_val2014_000000017379 | adversarial | |
1432 | 1433 | Is there a person in the image? | yes | COCO_val2014_000000017379 | adversarial | |
1433 | 1434 | Is there a car in the image? | no | COCO_val2014_000000017379 | adversarial | |
1434 | 1435 | Is there a bowl in the image? | yes | COCO_val2014_000000511622 | adversarial | |
1435 | 1436 | Is there a dining table in the image? | no | COCO_val2014_000000511622 | adversarial | |
1436 | 1437 | Is there a scissors in the image? | yes | COCO_val2014_000000511622 | adversarial | |
1437 | 1438 | Is there a bottle in the image? | no | COCO_val2014_000000511622 | adversarial | |
1438 | 1439 | Is there a person in the image? | yes | COCO_val2014_000000511622 | adversarial | |
1439 | 1440 | Is there a car in the image? | no | COCO_val2014_000000511622 | adversarial | |
1440 | 1441 | Is there a tv in the image? | yes | COCO_val2014_000000407386 | adversarial | |
1441 | 1442 | Is there a person in the image? | no | COCO_val2014_000000407386 | adversarial | |
1442 | 1443 | Is there a laptop in the image? | yes | COCO_val2014_000000407386 | adversarial | |
1443 | 1444 | Is there a mouse in the image? | no | COCO_val2014_000000407386 | adversarial | |
1444 | 1445 | Is there a dining table in the image? | yes | COCO_val2014_000000407386 | adversarial | |
1445 | 1446 | Is there a cup in the image? | no | COCO_val2014_000000407386 | adversarial | |
1446 | 1447 | Is there a spoon in the image? | yes | COCO_val2014_000000039516 | adversarial | |
1447 | 1448 | Is there a cup in the image? | no | COCO_val2014_000000039516 | adversarial | |
1448 | 1449 | Is there an orange in the imange? | yes | COCO_val2014_000000039516 | adversarial | |
1449 | 1450 | Is there a person in the image? | no | COCO_val2014_000000039516 | adversarial | |
1450 | 1451 | Is there a cake in the image? | yes | COCO_val2014_000000039516 | adversarial | |
1451 | 1452 | Is there a dining table in the image? | no | COCO_val2014_000000039516 | adversarial | |
1452 | 1453 | Is there a sink in the image? | yes | COCO_val2014_000000018918 | adversarial | |
1453 | 1454 | Is there a bottle in the image? | no | COCO_val2014_000000018918 | adversarial | |
1454 | 1455 | Is there a bowl in the image? | yes | COCO_val2014_000000018918 | adversarial | |
1455 | 1456 | Is there a cup in the image? | no | COCO_val2014_000000018918 | adversarial | |
1456 | 1457 | Is there an oven in the imange? | yes | COCO_val2014_000000018918 | adversarial | |
1457 | 1458 | Is there a person in the image? | no | COCO_val2014_000000018918 | adversarial | |
1458 | 1459 | Is there a person in the image? | yes | COCO_val2014_000000115626 | adversarial | |
1459 | 1460 | Is there a car in the image? | no | COCO_val2014_000000115626 | adversarial | |
1460 | 1461 | Is there a motorcycle in the image? | yes | COCO_val2014_000000115626 | adversarial | |
1461 | 1462 | Is there a bicycle in the image? | no | COCO_val2014_000000115626 | adversarial | |
1462 | 1463 | Is there a parking meter in the image? | yes | COCO_val2014_000000115626 | adversarial | |
1463 | 1464 | Is there a truck in the image? | no | COCO_val2014_000000115626 | adversarial | |
1464 | 1465 | Is there a traffic light in the image? | yes | COCO_val2014_000000391735 | adversarial | |
1465 | 1466 | Is there a car in the image? | no | COCO_val2014_000000391735 | adversarial | |
1466 | 1467 | Is there a toothbrush in the image? | yes | COCO_val2014_000000391735 | adversarial | |
1467 | 1468 | Is there a sink in the image? | no | COCO_val2014_000000391735 | adversarial | |
1468 | 1469 | Is there a person in the image? | yes | COCO_val2014_000000391735 | adversarial | |
1469 | 1470 | Is there a dining table in the image? | no | COCO_val2014_000000391735 | adversarial | |
1470 | 1471 | Is there a chair in the image? | yes | COCO_val2014_000000236370 | adversarial | |
1471 | 1472 | Is there a dining table in the image? | no | COCO_val2014_000000236370 | adversarial | |
1472 | 1473 | Is there a person in the image? | yes | COCO_val2014_000000236370 | adversarial | |
1473 | 1474 | Is there a car in the image? | no | COCO_val2014_000000236370 | adversarial | |
1474 | 1475 | Is there a book in the image? | yes | COCO_val2014_000000236370 | adversarial | |
1475 | 1476 | Is there a tv in the image? | no | COCO_val2014_000000236370 | adversarial | |
1476 | 1477 | Is there a snowboard in the image? | yes | COCO_val2014_000000463542 | adversarial | |
1477 | 1478 | Is there a backpack in the image? | no | COCO_val2014_000000463542 | adversarial | |
1478 | 1479 | Is there a skis in the image? | yes | COCO_val2014_000000463542 | adversarial | |
1479 | 1480 | Is there a dog in the image? | no | COCO_val2014_000000463542 | adversarial | |
1480 | 1481 | Is there a person in the image? | yes | COCO_val2014_000000463542 | adversarial | |
1481 | 1482 | Is there a car in the image? | no | COCO_val2014_000000463542 | adversarial | |
1482 | 1483 | Is there a person in the image? | yes | COCO_val2014_000000377352 | adversarial | |
1483 | 1484 | Is there a dining table in the image? | no | COCO_val2014_000000377352 | adversarial | |
1484 | 1485 | Is there a motorcycle in the image? | yes | COCO_val2014_000000377352 | adversarial | |
1485 | 1486 | Is there a truck in the image? | no | COCO_val2014_000000377352 | adversarial | |
1486 | 1487 | Is there a car in the image? | yes | COCO_val2014_000000377352 | adversarial | |
1487 | 1488 | Is there a bus in the image? | no | COCO_val2014_000000377352 | adversarial | |
1488 | 1489 | Is there a snowboard in the image? | yes | COCO_val2014_000000302405 | adversarial | |
1489 | 1490 | Is there a skis in the image? | no | COCO_val2014_000000302405 | adversarial | |
1490 | 1491 | Is there a backpack in the image? | yes | COCO_val2014_000000302405 | adversarial | |
1491 | 1492 | Is there a handbag in the image? | no | COCO_val2014_000000302405 | adversarial | |
1492 | 1493 | Is there a person in the image? | yes | COCO_val2014_000000302405 | adversarial | |
1493 | 1494 | Is there a car in the image? | no | COCO_val2014_000000302405 | adversarial | |
1494 | 1495 | Is there a baseball glove in the image? | yes | COCO_val2014_000000554328 | adversarial | |
1495 | 1496 | Is there a baseball bat in the image? | no | COCO_val2014_000000554328 | adversarial | |
1496 | 1497 | Is there a person in the image? | yes | COCO_val2014_000000554328 | adversarial | |
1497 | 1498 | Is there a car in the image? | no | COCO_val2014_000000554328 | adversarial | |
1498 | 1499 | Is there a sports ball in the image? | yes | COCO_val2014_000000554328 | adversarial | |
1499 | 1500 | Is there a tennis racket in the image? | no | COCO_val2014_000000554328 | adversarial |
Subsets and Splits
SQL Console for lmms-lab/POPE
Retrieves specific instances of a particular question and its answers, providing basic filtering but limited analytical value beyond finding examples of a specific query.
Filter Yes Answers
Retrieves all records from the dataset where the answer is 'yes', providing basic filtering but limited analytical value.